Assessing progress of Parkinson's disease using acoustic analysis of phonation. - Jirí Mekyska; Zoltan Galaz; Zdenek Mzourek; Zdenek Smékal; Irena Rektorová; Ilona Eliasova; Milena Kostalova; Martina Mrackova; Dagmar Berankova; Marcos Faúndez-Zanuy; Karmele López de Ipiña; Jesús Bernardino Alonso Hernández (IWOBI, 2015)

Degree of Parkinson's disease severity estimation based on speech signal processing. - Zoltan Galaz; Zdenek Mzourek; Jirí Mekyska; Zdenek Smékal; Tomas Kiska; Irena Rektorová; Juan Rafael Orozco-Arroyave; Khalid Daoudi (TSP, 2016)

Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. - Zoltan Galaz; Jirí Mekyska; Zdenek Mzourek; Zdenek Smékal; Irena Rektorová; Ilona Eliasova; Milena Kostalova; Martina Mrackova; Dagmar Berankova (Comput. Methods Programs Biomed., 2016)

Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. - Jirí Mekyska; Zdenek Smékal; Zoltan Galaz; Zdenek Mzourek; Irena Rektorová; Marcos Faúndez-Zanuy; Karmele López de Ipiña (Recent Advances in Nonlinear Speech Processing, 2016)

Identification and Rating of Developmental Dysgraphia by Handwriting Analysis. - Jirí Mekyska; Marcos Faúndez-Zanuy; Zdenek Mzourek; Zoltan Galaz; Zdenek Smékal; Sara Rosenblum (IEEE Trans. Hum. Mach. Syst., 2017)

Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. - Jirí Mekyska; Zdenek Smékal; Zoltan Galaz; Zdenek Mzourek; Irena Rektorová; Marcos Faúndez-Zanuy; Karmele López de Ipiña (CoRR, 2022)